The Minor in Statistics develops skills that complement major study in other disciplines. The program helps the student master the basics of statistical theory and advanced techniques in data analysis. This is a good choice for deepening understanding of statistical ideas and for strengthening research skills.
Requirements
| Basic Curriculum Category | Requirement | Units |
|---|---|---|
| Mathematical Foundation (prereq) | I. Calculus*: Complete one of the following sequences 21-111, 21-112, 21-256 or 21-259
21-120, 21-256 or 21-259
21-240
21-241 21-341 |
28/38 |
| Beginning Data Analysis |
Complete one of:
36-201
36-207 36-220 36-247 or extra statistical elective*** |
9 |
| Intermediate Data Analysis |
Complete one of:
36-202
36-208 36-309 or extra statistical elective*** |
9 |
| Advanced Data Analysis |
Complete the following two courses:****
36-401
36-402 |
18 |
| Statistical Theory |
Complete both of the following:****
36-225
36-226 |
18 |
| Total for Minor | 82/92 |
| * | Other sequences are possible, and require approval from the undergraduate advisor. |
| ** | This requirement is a prerequisite for the course 36-401. It is therefore essential to complete this requirement during your junior year at the latest. |
| *** | For students who enter the program with 36-225/226. Discuss options with your advisor. |
| **** | In order to be a minor in good standing, a grade of at least a C is required in 36-225 (or 36-217), 36-226, and 36-401. Otherwise, you will not be allowed to continue in the minor. |
With respect to double-counting courses, it is departmental policy that students must have at least three statistics courses that do not count for their primary major. If students do not have at least three, they typically take additional advanced electives.
© 2012 Department of Statistics, Carnegie Mellon University